License: Creative Commons Attribution 3.0 Unported license (CC BY 3.0)
When quoting this document, please refer to the following
DOI: 10.4230/OASIcs.ASD.2019.6
URN: urn:nbn:de:0030-drops-103395
URL: http://dagstuhl.sunsite.rwth-aachen.de/volltexte/2019/10339/
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Jantsch, Axel

Towards a Formal Model of Recursive Self-Reflection

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OASIcs-ASD-2019-6.pdf (0.6 MB)

Abstract

Self-awareness holds the promise of better decision making based on a comprehensive assessment of a system's own situation. Therefore it has been studied for more than ten years in a range of settings and applications. However, in the literature the term has been used in a variety of meanings and today there is no consensus on what features and properties it should include. In fact, researchers disagree on the relative benefits of a self-aware system compared to one that is very similar but lacks self-awareness.
We sketch a formal model, and thus a formal definition, of self-awareness. The model is based on dynamic dataflow semantics and includes self-assessment, a simulation and an abstraction as facilitating techniques, which are modeled by spawning new dataflow actors in the system. Most importantly, it has a method to focus on any of its parts to make it a subject of analysis by applying abstraction, self-assessment and simulation. In particular, it can apply this process to itself, which we call recursive self-reflection. There is no arbitrary limit to this self-scrutiny except resource constraints.

BibTeX - Entry

@InProceedings{jantsch:OASIcs:2019:10339,
  author =	{Axel Jantsch},
  title =	{{Towards a Formal Model of Recursive Self-Reflection}},
  booktitle =	{Workshop on Autonomous Systems Design (ASD 2019)},
  pages =	{6:1--6:15},
  series =	{OpenAccess Series in Informatics (OASIcs)},
  ISBN =	{978-3-95977-102-3},
  ISSN =	{2190-6807},
  year =	{2019},
  volume =	{68},
  editor =	{Selma Saidi and Rolf Ernst and Dirk Ziegenbein},
  publisher =	{Schloss Dagstuhl--Leibniz-Zentrum fuer Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{http://drops.dagstuhl.de/opus/volltexte/2019/10339},
  URN =		{urn:nbn:de:0030-drops-103395},
  doi =		{10.4230/OASIcs.ASD.2019.6},
  annote =	{Keywords: Cyber-physical systems, self-aware systems, self-reflection, self-assessment}
}

Keywords: Cyber-physical systems, self-aware systems, self-reflection, self-assessment
Collection: Workshop on Autonomous Systems Design (ASD 2019)
Issue Date: 2019
Date of publication: 28.03.2019

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